Lead Data Engineer

Posted Yesterday
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Reston, VA, USA
Hybrid
158K-237K Annually
Expert/Leader
Digital Media • Information Technology • News + Entertainment
Come to Comcast and bring connection to life.
The Role
Leads the design and management of data engineering solutions, including pipelines, storage systems, data architecture, quality frameworks, APIs, and data extracts. Deploys solutions across Kubernetes, Teradata, AWS, and Databricks; selects storage technologies; maps data lineage; establishes QA standards; and collaborates cross-functionally to improve data quality, accessibility, and operational efficiency. Requires independent judgment and flexibility for nights, weekends, and variable schedules.
Summary Generated by Built In
FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.
Job Summary
This job leads in the design and management of sophisticated data engineering solutions to enhance decision-making and operational efficiency. It oversees the development of robust data pipelines and storage systems, ensuring high data quality and accessibility. The role is pivotal in strategizing and implementing data architecture across diverse platforms, driving the organization's data-centric objectives.
Job Description
Responsibilities:
  • Leading data structure and pipeline development to standardize, transform, and deliver data for insights and reporting, following best practices
  • Ensuring data quality throughout the lifecycle, from ingestion to processing and loading, through rigorous data quality frameworks
  • Designing and implementing standardized methods for data consumption, including APIs, database views, and data extracts, to facilitate end-user access
  • Designing and deploying data solutions on Kubernetes, Teradata, AWS, and Databricks to meet specific business requirements
  • Choosing data storage solutions tailored to sensitivity and access needs using platforms like minIO, Teradata, AWS S3, and Redshift
  • Mapping data lineage and applying transformation rules to streamline troubleshooting and impact analysis for data modifications
  • Collaborating with cross-functional teams to refine data sourcing and processing, enhancing data quality, and optimizing operational processes
  • Setting design standards and QA protocols for software/systems development to ensure data flows and storage solutions interoperate effectively
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
  • Other duties and responsibilities as assigned.
Employees at all levels are expected to:
  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Skills:
Data Engineering; Data Storage; Structured Query Language (SQL); Collaboration; Data Architecture Development; Databricks Platform; Java (Programming Language)
Salary:
Virginia Pay Range: $158,057.06 - $237,085.58
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
10 Years +

Skills Required

  • 10 or more years of relevant work experience
  • Bachelor's degree, or equivalent combination of coursework and experience
  • Data engineering experience
  • Data storage experience
  • Structured Query Language (SQL)
  • Data architecture development experience
  • Databricks platform experience
  • Java programming experience
  • Availability to work nights, weekends, and variable schedules as necessary

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The Company
HQ: Philadelphia, PA
115,000 Employees
Year Founded: 1963

What We Do

Welcome to Comcast. From the connectivity and platforms we provide to the content and experiences we create, we bring people together, globally. Our people think the world of our work, and that’s why our work is the best in the world.

Why Work With Us

We believe you can achieve extraordinary things when you feel connected - to the work you do and who you do it with. From the platforms we provide to millions of people, to the content and experiences we create - we bring our customers, viewers and teammates closer together across the globe.

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